“highly significant”

The models highlighted below were all highly significant ( p < 0.0001).

In the medium group size (6SC), the CNTRL + M + 6SC showed a highly significant increase in mirror bites compared to HGRY + M + 6SC ( P < 0.0001).

The Kendall tau correlation coefficient is 0.905 at a statistically highly significant level ( p < 0.0001).

ELISA results showed that the Giardia induced a highly significant increase in the secretion of IL-6, IL-12 p40 and TNF-α compared to the control group (IL-6: ANOVA, F (4, 10) = 1.116, p < 0.0001; IL-12 p40: ANOVA, F (4, 10) = 0.6885, p < 0.0001; TNF-α: ANOVA, F (4, 10) = 1.990, p < 0.0001) (Fig. 2 a–c).

Regression analysis of the cured percentage in untreated patients versus the odds ratio of the ten studies analyzed and presented in table S2, revealed a highly significant linear relationship (Spearman Rho = −0.842, adjusted R2 = 0.806, P<0.0001) indicating that centers with good surgical results do not benefit from pretreatment and centers with worse surgical results benefit most from pretreatment.

2A ); there were also highly significant correlations between SWA ARM and the VO 2 , r = 0.85, p<0.0001 and between SWA BACK and VO 2 , r = 0.79, p = 0.0003 ( Fig. 2 B–C).

Two-way ANOVA showed highly significant effects of treatment, cell death state, and their interaction (F (15,48) = 1810.36, p < 0.0001), confirming that treatment-dependent differences varied strongly across states.

By multivariate linear regression both age and creatinine clearance were highly significant predictors of NT-proBNP levels (P < 0.0001), while hematocrit was of borderline significance (P = 0.06).

Statistical analysis via two-way ANOVA followed by Dunnett’s multiple comparisons test confirmed the significance of these observations ( P < 0.05), with highly significant differences (**** P < 0.0001) between controls and bacterial treatments in arsenate conditions.

GDF-15 showed the most robust response, with highly significant main effects for both time and dose and a strong interaction ( p < 0.0001).

The analysis of extracts spiked with known concentrations of the compound ( Figure 3 c) showed a highly significant correlation between P5C concentration in samples and its estimation ( p < 0.0001 in a Pearson two-tailed test) and allowed us to evaluate the recovery (about 85%) and to estimate the detection limit of the method (about 20–30 nmol g −1 FW under the experimental condition used).

For all 3 parameters the contrast between LPS and saline was calculated up to 24 hours postinjection and was highly significant ( P < .0001).

There were highly significant correlations ( r = 0.89, p < 10 –4 in Paris) and good intraclass correlation coefficients ( R = 0.89 in Paris) between the two series of values.

Furthermore, all quadratic terms (A 2 , B 2 , C 2 , and D 2 ) were highly significant ( p < 0.0001), suggesting pronounced nonlinear relationships in the extraction process, which is essential for interpreting the experimental outcomes [ 59 ].

The difference was highly significant (p < 0.0001) implying that serum zinc levels of the cases were significantly lower than that of controls.

Although the difference was small, it was highly significant ( P < 0.0001) and consistent with previously published results [ 15 ].

The highly significant p values ( p < 0.0001) showed that there was a significant change in mean value from baseline for all three variables.

When all datasets were combined, we found a highly significant association of younger age at diagnosis with increased CIN70 scores (p < 0.0001).

The difference is highly significant, chi-square test (asymptotic significance, two sided), P <0.0001 ( Table 4 ).

We found highly significant differences between habitats in Tawny Owl prey composition (Monte Carlo with 9999 permutations p -value = 0.0001, χ 2 p -value < 10 −4 ).

There was a highly significant difference between the coverage distributions at overmerged sites versus the rest of the sites (Kolgomorov–Smirnoff D: 0.5331, p < 0.0001).

The sense of the changes in the expression of 205 transcripts (i.e., downregulated or upregulated) described in GPL570 matched those of RSeq2 (203/205) reflected in an almost perfect agreement (Kappa = 0.980), as well as highly significant correlation (r = 0.83, p < 0.0001) ( Figure 2 A).

While subsets of the neuronal population showed increases or decreases in activity, the overall population showed a 26% increase in mean firing rate, which was highly significant with t -test p < 0.0001 ( Figure 4f ).

The present work finds a moderate yet highly significant correlation (ρ = 0.47, p < 0.0001) between the intensity of taste and smell loss.

Notably, a highly significant reduction of pruritus ( p < 0.0001) was observed already on day 1 with further improvement at later time points.